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» Constraints in Weighted Averaging
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122
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ICIP
2010
IEEE
14 years 10 months ago
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
Yingsong Zhang, Nick G. Kingsbury
107
Voted
IPMU
2010
Springer
14 years 10 months ago
A Fuzzy Regional-Based Approach for Detecting Cerebrospinal Fluid Regions in Presence of Multiple Sclerosis Lesions
Magnetic Resonance Imaging (MRI) is an important paraclinical tool for diagnosing and following-up of Multiple Sclerosis (MS). The detection of MS lesions in MRI may require comple...
Francesc Xavier Aymerich, Eduard Montseny, Pilar S...
PIMRC
2010
IEEE
14 years 10 months ago
Optimal beamforming in cognitive two-way relay networks
We consider a cognitive two-way relay network which consists of two transceivers (primary users) and multiple cognitive terminals. The two transceivers transmit their data toward t...
Ardalan Alizadeh, Seyed Mohammad-Sajad Sadough, Na...
143
Voted
CVPR
2011
IEEE
14 years 8 months ago
Sparse Reconstruction Cost for Abnormal Event Detection
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
Yang Cong, Junsong Yuan, Ji Liu
103
Voted
TSMC
2010
14 years 7 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris